Comparison of Clustering Algorithms on Air Quality Substances in Peninsular Malaysia

Comparison of Clustering Algorithms on Air Quality Substances in Peninsular Malaysia

Air quality is one of the most popular environmental problems in this globalization era. Air pollution is the poisonous air that comes from car emissions, smog, open burning, chemicals from factories and other particles and gases. This harmful air can give adverse effects to human health and the env...

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Bibliographic Details
Main Authors: Sitti Sufiah Atirah Rosly, Balkiah Moktar, Muhamad Hasbullah Mohd Razali
Format: Article
Language:English
Published: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis 2018-01-01
Series:Journal of Computing Research and Innovation
Subjects:
air quality
clustering algorithm
weka
k-mean
density based
expectation maximization
Online Access:https://crinn.conferencehunter.com/index.php/jcrinn/article/view/28

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